Triple

T36730355
Position Surface form Disambiguated ID Type / Status
Subject Willard Hewitt E907313 entity
Predicate romanticPartnerIn P143936 FINISHED
Object Rusty in Footloose (musical) NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Rusty in Footloose (musical) | Statement: [Willard Hewitt, romanticPartnerIn, Rusty in Footloose (musical)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: romanticPartnerIn
Context triple: [Willard Hewitt, romanticPartnerIn, Rusty in Footloose (musical)]
  • A. romanticPartnerRealName
    Indicates that the real, non-alias name of a person is associated with someone who is their romantic partner.
  • B. romanticOrSexualPartners
    Indicates that the entities have been, are, or are intended to be involved as romantic and/or sexual partners with each other.
  • C. romanticPartnerInSeries chosen
    Indicates that one character is portrayed as a romantic partner of another character within the context of a specific series or narrative.
  • D. formerRomanticInterest
    Indicates that one entity previously had a romantic relationship or attraction toward another entity, but that romantic connection has since ended.
  • E. spouseOrLover
    Indicates a romantic partnership between two entities, whether formalized as a spouse or existing as a lover.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f76e746e4c8190a0d05cc6d57a643e completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c9f5a8848190ba956ff27f44e396 completed May 3, 2026, 10:19 p.m.
PD Predicate disambiguation batch_69f7c8999a348190abc1895eaa6e036d completed May 3, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:12 p.m.